Despite the theoretical formulation of the EBM as a potential surface, the problem of principled density estimation has received relatively little attention. Successful image synthesis is sometimes used as misleading evidence of successful density estimation, but we emphasize these outcomes not equivalent. In this section, we address the lack scalable methods to learn valid densities of complex signals by introducing an MCMC initialization can incorporate rejuvenation while still simulating extremely long trajectories. Learning a valid density is a fundamental computational problem that is important in its own right, and we further hope that our learning method leads to EBM clustering techniques based on the potential energy basins of a well-formed density [1]}.
